Overview

Dataset statistics

Number of variables15
Number of observations940
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory164.4 KiB
Average record size in memory179.1 B

Variable types

Numeric14
DateTime1

Alerts

Calories is highly overall correlated with TotalDistance and 3 other fieldsHigh correlation
FairlyActiveMinutes is highly overall correlated with ModeratelyActiveDistance and 5 other fieldsHigh correlation
LightActiveDistance is highly overall correlated with LightlyActiveMinutes and 3 other fieldsHigh correlation
LightlyActiveMinutes is highly overall correlated with LightActiveDistance and 3 other fieldsHigh correlation
ModeratelyActiveDistance is highly overall correlated with FairlyActiveMinutes and 5 other fieldsHigh correlation
TotalDistance is highly overall correlated with Calories and 8 other fieldsHigh correlation
TotalSteps is highly overall correlated with Calories and 8 other fieldsHigh correlation
TrackerDistance is highly overall correlated with Calories and 8 other fieldsHigh correlation
VeryActiveDistance is highly overall correlated with FairlyActiveMinutes and 5 other fieldsHigh correlation
VeryActiveMinutes is highly overall correlated with Calories and 6 other fieldsHigh correlation
TotalSteps has 77 (8.2%) zerosZeros
TotalDistance has 78 (8.3%) zerosZeros
TrackerDistance has 78 (8.3%) zerosZeros
LoggedActivitiesDistance has 908 (96.6%) zerosZeros
VeryActiveDistance has 413 (43.9%) zerosZeros
ModeratelyActiveDistance has 386 (41.1%) zerosZeros
LightActiveDistance has 85 (9.0%) zerosZeros
SedentaryActiveDistance has 858 (91.3%) zerosZeros
VeryActiveMinutes has 409 (43.5%) zerosZeros
FairlyActiveMinutes has 384 (40.9%) zerosZeros
LightlyActiveMinutes has 84 (8.9%) zerosZeros

Reproduction

Analysis started2024-06-24 11:45:57.472997
Analysis finished2024-06-24 11:46:23.784538
Duration26.31 seconds
Software versionydata-profiling v4.8.3
Download configurationconfig.json

Variables

Id
Real number (ℝ)

Distinct33
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.8554074 × 109
Minimum1.5039604 × 109
Maximum8.8776894 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2024-06-24T13:46:23.893038image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum1.5039604 × 109
5-th percentile1.6245801 × 109
Q12.320127 × 109
median4.445115 × 109
Q36.9621811 × 109
95-th percentile8.7920097 × 109
Maximum8.8776894 × 109
Range7.373729 × 109
Interquartile range (IQR)4.6420541 × 109

Descriptive statistics

Standard deviation2.4248055 × 109
Coefficient of variation (CV)0.4994031
Kurtosis-1.2730307
Mean4.8554074 × 109
Median Absolute Deviation (MAD)2.418763 × 109
Skewness0.1771249
Sum4.5640829 × 1012
Variance5.8796816 × 1018
MonotonicityIncreasing
2024-06-24T13:46:24.031185image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
1503960366 31
 
3.3%
4319703577 31
 
3.3%
8583815059 31
 
3.3%
8378563200 31
 
3.3%
8053475328 31
 
3.3%
7086361926 31
 
3.3%
6962181067 31
 
3.3%
5553957443 31
 
3.3%
4702921684 31
 
3.3%
4558609924 31
 
3.3%
Other values (23) 630
67.0%
ValueCountFrequency (%)
1503960366 31
3.3%
1624580081 31
3.3%
1644430081 30
3.2%
1844505072 31
3.3%
1927972279 31
3.3%
2022484408 31
3.3%
2026352035 31
3.3%
2320127002 31
3.3%
2347167796 18
1.9%
2873212765 31
3.3%
ValueCountFrequency (%)
8877689391 31
3.3%
8792009665 29
3.1%
8583815059 31
3.3%
8378563200 31
3.3%
8253242879 19
2.0%
8053475328 31
3.3%
7086361926 31
3.3%
7007744171 26
2.8%
6962181067 31
3.3%
6775888955 26
2.8%
Distinct31
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
Minimum2016-04-12 00:00:00
Maximum2016-05-12 00:00:00
2024-06-24T13:46:24.172685image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:24.317947image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=31)

TotalSteps
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct842
Distinct (%)89.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7637.9106
Minimum0
Maximum36019
Zeros77
Zeros (%)8.2%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2024-06-24T13:46:24.460331image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13789.75
median7405.5
Q310727
95-th percentile15485.1
Maximum36019
Range36019
Interquartile range (IQR)6937.25

Descriptive statistics

Standard deviation5087.1507
Coefficient of variation (CV)0.66603957
Kurtosis1.1691112
Mean7637.9106
Median Absolute Deviation (MAD)3446.5
Skewness0.65289494
Sum7179636
Variance25879103
MonotonicityNot monotonic
2024-06-24T13:46:24.610507image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 77
 
8.2%
244 2
 
0.2%
6708 2
 
0.2%
9167 2
 
0.2%
6175 2
 
0.2%
10538 2
 
0.2%
1510 2
 
0.2%
8538 2
 
0.2%
7937 2
 
0.2%
4363 2
 
0.2%
Other values (832) 845
89.9%
ValueCountFrequency (%)
0 77
8.2%
4 1
 
0.1%
8 1
 
0.1%
9 1
 
0.1%
16 1
 
0.1%
17 1
 
0.1%
29 1
 
0.1%
31 1
 
0.1%
42 1
 
0.1%
44 1
 
0.1%
ValueCountFrequency (%)
36019 1
0.1%
29326 1
0.1%
27745 1
0.1%
23629 1
0.1%
23186 1
0.1%
22988 1
0.1%
22770 1
0.1%
22359 1
0.1%
22244 1
0.1%
22026 1
0.1%

TotalDistance
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct615
Distinct (%)65.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.4897021
Minimum0
Maximum28.030001
Zeros78
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2024-06-24T13:46:24.756113image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.6199999
median5.2449999
Q37.7125
95-th percentile11.6565
Maximum28.030001
Range28.030001
Interquartile range (IQR)5.0925001

Descriptive statistics

Standard deviation3.9246059
Coefficient of variation (CV)0.71490325
Kurtosis3.1130184
Mean5.4897021
Median Absolute Deviation (MAD)2.5600001
Skewness1.1262736
Sum5160.32
Variance15.402532
MonotonicityNot monotonic
2024-06-24T13:46:24.912419image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 78
 
8.3%
2.599999905 5
 
0.5%
0.009999999776 5
 
0.5%
3.910000086 4
 
0.4%
4.949999809 4
 
0.4%
1.789999962 4
 
0.4%
4.329999924 4
 
0.4%
2.680000067 4
 
0.4%
3.50999999 4
 
0.4%
4.900000095 4
 
0.4%
Other values (605) 824
87.7%
ValueCountFrequency (%)
0 78
8.3%
0.009999999776 5
 
0.5%
0.01999999955 1
 
0.1%
0.02999999933 2
 
0.2%
0.03999999911 1
 
0.1%
0.07999999821 1
 
0.1%
0.09000000358 1
 
0.1%
0.1000000015 1
 
0.1%
0.1099999994 1
 
0.1%
0.1299999952 1
 
0.1%
ValueCountFrequency (%)
28.03000069 1
0.1%
26.71999931 1
0.1%
25.29000092 1
0.1%
20.64999962 1
0.1%
20.39999962 1
0.1%
19.55999947 1
0.1%
19.34000015 1
0.1%
18.97999954 1
0.1%
18.25 1
0.1%
18.11000061 1
0.1%

TrackerDistance
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct613
Distinct (%)65.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.4753511
Minimum0
Maximum28.030001
Zeros78
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2024-06-24T13:46:25.067468image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.6199999
median5.2449999
Q37.71
95-th percentile11.6565
Maximum28.030001
Range28.030001
Interquartile range (IQR)5.0900002

Descriptive statistics

Standard deviation3.9072759
Coefficient of variation (CV)0.71361195
Kurtosis3.2038891
Mean5.4753511
Median Absolute Deviation (MAD)2.5550003
Skewness1.1345496
Sum5146.83
Variance15.266805
MonotonicityNot monotonic
2024-06-24T13:46:25.204059image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 78
 
8.3%
2.599999905 5
 
0.5%
0.009999999776 5
 
0.5%
3.910000086 4
 
0.4%
2.680000067 4
 
0.4%
1.789999962 4
 
0.4%
4.329999924 4
 
0.4%
4.949999809 4
 
0.4%
3.50999999 4
 
0.4%
8.739999771 4
 
0.4%
Other values (603) 824
87.7%
ValueCountFrequency (%)
0 78
8.3%
0.009999999776 5
 
0.5%
0.01999999955 1
 
0.1%
0.02999999933 2
 
0.2%
0.03999999911 1
 
0.1%
0.07999999821 1
 
0.1%
0.09000000358 1
 
0.1%
0.1000000015 1
 
0.1%
0.1099999994 1
 
0.1%
0.1299999952 1
 
0.1%
ValueCountFrequency (%)
28.03000069 1
0.1%
26.71999931 1
0.1%
25.29000092 1
0.1%
20.64999962 1
0.1%
20.39999962 1
0.1%
19.55999947 1
0.1%
19.34000015 1
0.1%
18.97999954 1
0.1%
18.25 1
0.1%
18.11000061 1
0.1%

LoggedActivitiesDistance
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.10817094
Minimum0
Maximum4.942142
Zeros908
Zeros (%)96.6%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2024-06-24T13:46:25.331095image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4.942142
Range4.942142
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.61989652
Coefficient of variation (CV)5.7307121
Kurtosis41.295941
Mean0.10817094
Median Absolute Deviation (MAD)0
Skewness6.2974404
Sum101.68068
Variance0.38427169
MonotonicityNot monotonic
2024-06-24T13:46:25.447706image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 908
96.6%
2.092147112 9
 
1.0%
2.253081083 7
 
0.7%
4.081692219 1
 
0.1%
4.861792088 1
 
0.1%
4.878232002 1
 
0.1%
4.912367821 1
 
0.1%
2.832325935 1
 
0.1%
4.911146164 1
 
0.1%
4.885604858 1
 
0.1%
Other values (9) 9
 
1.0%
ValueCountFrequency (%)
0 908
96.6%
1.959596038 1
 
0.1%
2.092147112 9
 
1.0%
2.253081083 7
 
0.7%
2.785175085 1
 
0.1%
2.832325935 1
 
0.1%
3.167821884 1
 
0.1%
3.285414934 1
 
0.1%
4.081692219 1
 
0.1%
4.851306915 1
 
0.1%
ValueCountFrequency (%)
4.94214201 1
0.1%
4.930550098 1
0.1%
4.924840927 1
0.1%
4.912367821 1
0.1%
4.911146164 1
0.1%
4.885604858 1
0.1%
4.878232002 1
0.1%
4.869782925 1
0.1%
4.861792088 1
0.1%
4.851306915 1
0.1%

VeryActiveDistance
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct333
Distinct (%)35.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5026809
Minimum0
Maximum21.92
Zeros413
Zeros (%)43.9%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2024-06-24T13:46:25.584284image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.20999999
Q32.0524999
95-th percentile6.4030001
Maximum21.92
Range21.92
Interquartile range (IQR)2.0524999

Descriptive statistics

Standard deviation2.6589412
Coefficient of variation (CV)1.769465
Kurtosis11.910951
Mean1.5026809
Median Absolute Deviation (MAD)0.20999999
Skewness2.99617
Sum1412.52
Variance7.0699681
MonotonicityNot monotonic
2024-06-24T13:46:25.731271image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 413
43.9%
0.0700000003 9
 
1.0%
0.05999999866 6
 
0.6%
0.1400000006 5
 
0.5%
0.3300000131 5
 
0.5%
0.3400000036 4
 
0.4%
1.059999943 4
 
0.4%
0.3600000143 4
 
0.4%
1.00999999 4
 
0.4%
2.789999962 4
 
0.4%
Other values (323) 482
51.3%
ValueCountFrequency (%)
0 413
43.9%
0.01999999955 2
 
0.2%
0.03999999911 1
 
0.1%
0.05000000075 3
 
0.3%
0.05999999866 6
 
0.6%
0.0700000003 9
 
1.0%
0.07999999821 4
 
0.4%
0.09000000358 1
 
0.1%
0.1099999994 3
 
0.3%
0.1199999973 3
 
0.3%
ValueCountFrequency (%)
21.92000008 1
0.1%
21.65999985 1
0.1%
13.39999962 1
0.1%
13.26000023 1
0.1%
13.23999977 1
0.1%
13.22000027 1
0.1%
13.13000011 1
0.1%
13.06999969 1
0.1%
12.78999996 1
0.1%
12.53999996 1
0.1%

ModeratelyActiveDistance
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct211
Distinct (%)22.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.56754255
Minimum0
Maximum6.48
Zeros386
Zeros (%)41.1%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2024-06-24T13:46:25.869424image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.23999999
Q30.80000001
95-th percentile2.1300001
Maximum6.48
Range6.48
Interquartile range (IQR)0.80000001

Descriptive statistics

Standard deviation0.88358032
Coefficient of variation (CV)1.556853
Kurtosis10.125629
Mean0.56754255
Median Absolute Deviation (MAD)0.23999999
Skewness2.7711936
Sum533.49
Variance0.78071418
MonotonicityNot monotonic
2024-06-24T13:46:26.013288image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 386
41.1%
0.200000003 9
 
1.0%
0.2800000012 9
 
1.0%
0.400000006 9
 
1.0%
0.25 8
 
0.9%
0.3100000024 8
 
0.9%
0.9300000072 8
 
0.9%
0.4199999869 8
 
0.9%
0.2700000107 7
 
0.7%
0.5699999928 7
 
0.7%
Other values (201) 481
51.2%
ValueCountFrequency (%)
0 386
41.1%
0.009999999776 1
 
0.1%
0.01999999955 1
 
0.1%
0.02999999933 3
 
0.3%
0.03999999911 3
 
0.3%
0.05000000075 3
 
0.3%
0.05999999866 3
 
0.3%
0.0700000003 2
 
0.2%
0.07999999821 4
 
0.4%
0.09000000358 2
 
0.2%
ValueCountFrequency (%)
6.480000019 1
 
0.1%
6.210000038 1
 
0.1%
5.599999905 1
 
0.1%
5.400000095 1
 
0.1%
5.239999771 1
 
0.1%
5.119999886 1
 
0.1%
4.579999924 1
 
0.1%
4.559999943 1
 
0.1%
4.349999905 1
 
0.1%
4.21999979 3
0.3%

LightActiveDistance
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct491
Distinct (%)52.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3408191
Minimum0
Maximum10.71
Zeros85
Zeros (%)9.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2024-06-24T13:46:26.161134image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.945
median3.3649999
Q34.7825001
95-th percentile6.462
Maximum10.71
Range10.71
Interquartile range (IQR)2.8375001

Descriptive statistics

Standard deviation2.0406554
Coefficient of variation (CV)0.61082486
Kurtosis-0.18030027
Mean3.3408191
Median Absolute Deviation (MAD)1.4200002
Skewness0.18224747
Sum3140.37
Variance4.1642744
MonotonicityNot monotonic
2024-06-24T13:46:26.311117image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 85
 
9.0%
4.179999828 6
 
0.6%
3.170000076 6
 
0.6%
4.880000114 6
 
0.6%
3.230000019 6
 
0.6%
3.940000057 5
 
0.5%
3.25999999 5
 
0.5%
0.009999999776 5
 
0.5%
4.460000038 5
 
0.5%
5.409999847 5
 
0.5%
Other values (481) 806
85.7%
ValueCountFrequency (%)
0 85
9.0%
0.009999999776 5
 
0.5%
0.01999999955 1
 
0.1%
0.02999999933 3
 
0.3%
0.03999999911 1
 
0.1%
0.05999999866 1
 
0.1%
0.09000000358 1
 
0.1%
0.1000000015 1
 
0.1%
0.1099999994 1
 
0.1%
0.1299999952 2
 
0.2%
ValueCountFrequency (%)
10.71000004 1
0.1%
10.56999969 1
0.1%
10.30000019 1
0.1%
9.479999542 1
0.1%
9.460000038 1
0.1%
8.970000267 1
0.1%
8.789999962 1
0.1%
8.680000305 1
0.1%
8.409999847 1
0.1%
8.270000458 1
0.1%

SedentaryActiveDistance
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.001606383
Minimum0
Maximum0.11
Zeros858
Zeros (%)91.3%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2024-06-24T13:46:26.426706image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.0099999998
Maximum0.11
Range0.11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0073461763
Coefficient of variation (CV)4.5731164
Kurtosis99.127446
Mean0.001606383
Median Absolute Deviation (MAD)0
Skewness8.5898992
Sum1.51
Variance5.3966306 × 10-5
MonotonicityNot monotonic
2024-06-24T13:46:26.535290image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 858
91.3%
0.009999999776 50
 
5.3%
0.01999999955 21
 
2.2%
0.02999999933 4
 
0.4%
0.05000000075 3
 
0.3%
0.0700000003 1
 
0.1%
0.03999999911 1
 
0.1%
0.1099999994 1
 
0.1%
0.1000000015 1
 
0.1%
ValueCountFrequency (%)
0 858
91.3%
0.009999999776 50
 
5.3%
0.01999999955 21
 
2.2%
0.02999999933 4
 
0.4%
0.03999999911 1
 
0.1%
0.05000000075 3
 
0.3%
0.0700000003 1
 
0.1%
0.1000000015 1
 
0.1%
0.1099999994 1
 
0.1%
ValueCountFrequency (%)
0.1099999994 1
 
0.1%
0.1000000015 1
 
0.1%
0.0700000003 1
 
0.1%
0.05000000075 3
 
0.3%
0.03999999911 1
 
0.1%
0.02999999933 4
 
0.4%
0.01999999955 21
 
2.2%
0.009999999776 50
 
5.3%
0 858
91.3%

VeryActiveMinutes
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct122
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.164894
Minimum0
Maximum210
Zeros409
Zeros (%)43.5%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2024-06-24T13:46:26.665899image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q332
95-th percentile93.05
Maximum210
Range210
Interquartile range (IQR)32

Descriptive statistics

Standard deviation32.844803
Coefficient of variation (CV)1.551853
Kurtosis5.7780701
Mean21.164894
Median Absolute Deviation (MAD)4
Skewness2.1761432
Sum19895
Variance1078.7811
MonotonicityNot monotonic
2024-06-24T13:46:26.808987image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 409
43.5%
1 23
 
2.4%
2 18
 
1.9%
3 16
 
1.7%
8 15
 
1.6%
6 14
 
1.5%
11 14
 
1.5%
19 13
 
1.4%
5 13
 
1.4%
14 12
 
1.3%
Other values (112) 393
41.8%
ValueCountFrequency (%)
0 409
43.5%
1 23
 
2.4%
2 18
 
1.9%
3 16
 
1.7%
4 10
 
1.1%
5 13
 
1.4%
6 14
 
1.5%
7 11
 
1.2%
8 15
 
1.6%
9 7
 
0.7%
ValueCountFrequency (%)
210 1
0.1%
207 1
0.1%
200 1
0.1%
194 1
0.1%
186 1
0.1%
184 1
0.1%
137 1
0.1%
132 1
0.1%
129 1
0.1%
125 2
0.2%

FairlyActiveMinutes
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct81
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.564894
Minimum0
Maximum143
Zeros384
Zeros (%)40.9%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2024-06-24T13:46:26.945497image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q319
95-th percentile51
Maximum143
Range143
Interquartile range (IQR)19

Descriptive statistics

Standard deviation19.987404
Coefficient of variation (CV)1.4734656
Kurtosis7.9957314
Mean13.564894
Median Absolute Deviation (MAD)6
Skewness2.479492
Sum12751
Variance399.49632
MonotonicityNot monotonic
2024-06-24T13:46:27.093733image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 384
40.9%
8 36
 
3.8%
6 23
 
2.4%
5 23
 
2.4%
16 22
 
2.3%
7 20
 
2.1%
10 19
 
2.0%
9 19
 
2.0%
13 18
 
1.9%
11 18
 
1.9%
Other values (71) 358
38.1%
ValueCountFrequency (%)
0 384
40.9%
1 10
 
1.1%
2 8
 
0.9%
3 9
 
1.0%
4 14
 
1.5%
5 23
 
2.4%
6 23
 
2.4%
7 20
 
2.1%
8 36
 
3.8%
9 19
 
2.0%
ValueCountFrequency (%)
143 1
 
0.1%
125 1
 
0.1%
122 1
 
0.1%
116 1
 
0.1%
115 1
 
0.1%
113 1
 
0.1%
98 1
 
0.1%
96 1
 
0.1%
95 5
0.5%
94 1
 
0.1%

LightlyActiveMinutes
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct335
Distinct (%)35.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean192.81277
Minimum0
Maximum518
Zeros84
Zeros (%)8.9%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2024-06-24T13:46:27.243190image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1127
median199
Q3264
95-th percentile369.05
Maximum518
Range518
Interquartile range (IQR)137

Descriptive statistics

Standard deviation109.1747
Coefficient of variation (CV)0.56622132
Kurtosis-0.36011793
Mean192.81277
Median Absolute Deviation (MAD)69
Skewness-0.037929343
Sum181244
Variance11919.115
MonotonicityNot monotonic
2024-06-24T13:46:27.393812image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 84
 
8.9%
206 12
 
1.3%
258 10
 
1.1%
195 9
 
1.0%
214 8
 
0.9%
139 7
 
0.7%
238 7
 
0.7%
141 7
 
0.7%
199 7
 
0.7%
227 7
 
0.7%
Other values (325) 782
83.2%
ValueCountFrequency (%)
0 84
8.9%
1 3
 
0.3%
2 4
 
0.4%
3 3
 
0.3%
4 1
 
0.1%
9 3
 
0.3%
10 2
 
0.2%
11 1
 
0.1%
12 2
 
0.2%
15 1
 
0.1%
ValueCountFrequency (%)
518 1
0.1%
513 1
0.1%
512 1
0.1%
487 1
0.1%
480 1
0.1%
475 1
0.1%
461 1
0.1%
458 1
0.1%
448 1
0.1%
439 1
0.1%

SedentaryMinutes
Real number (ℝ)

Distinct549
Distinct (%)58.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean991.21064
Minimum0
Maximum1440
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2024-06-24T13:46:27.536776image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile536.7
Q1729.75
median1057.5
Q31229.5
95-th percentile1440
Maximum1440
Range1440
Interquartile range (IQR)499.75

Descriptive statistics

Standard deviation301.26744
Coefficient of variation (CV)0.30393887
Kurtosis-0.66595003
Mean991.21064
Median Absolute Deviation (MAD)261
Skewness-0.29449809
Sum931738
Variance90762.068
MonotonicityNot monotonic
2024-06-24T13:46:27.685379image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1440 79
 
8.4%
1182 7
 
0.7%
692 6
 
0.6%
1112 5
 
0.5%
1131 5
 
0.5%
1122 5
 
0.5%
1105 5
 
0.5%
709 5
 
0.5%
1119 5
 
0.5%
728 5
 
0.5%
Other values (539) 813
86.5%
ValueCountFrequency (%)
0 1
0.1%
2 1
0.1%
13 1
0.1%
48 1
0.1%
111 1
0.1%
125 1
0.1%
127 1
0.1%
218 1
0.1%
222 1
0.1%
241 1
0.1%
ValueCountFrequency (%)
1440 79
8.4%
1439 3
 
0.3%
1438 3
 
0.3%
1437 2
 
0.2%
1431 1
 
0.1%
1430 2
 
0.2%
1428 1
 
0.1%
1423 1
 
0.1%
1420 1
 
0.1%
1413 1
 
0.1%

Calories
Real number (ℝ)

HIGH CORRELATION 

Distinct734
Distinct (%)78.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2303.6096
Minimum0
Maximum4900
Zeros4
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2024-06-24T13:46:27.832545image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1372.85
Q11828.5
median2134
Q32793.25
95-th percentile3654.25
Maximum4900
Range4900
Interquartile range (IQR)964.75

Descriptive statistics

Standard deviation718.16686
Coefficient of variation (CV)0.3117572
Kurtosis0.62502694
Mean2303.6096
Median Absolute Deviation (MAD)467
Skewness0.42245048
Sum2165393
Variance515763.64
MonotonicityNot monotonic
2024-06-24T13:46:27.982150image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1980 13
 
1.4%
2063 11
 
1.2%
1841 9
 
1.0%
1688 9
 
1.0%
1347 8
 
0.9%
2225 4
 
0.4%
1819 4
 
0.4%
2044 4
 
0.4%
1922 4
 
0.4%
0 4
 
0.4%
Other values (724) 870
92.6%
ValueCountFrequency (%)
0 4
0.4%
52 1
 
0.1%
57 1
 
0.1%
120 1
 
0.1%
257 1
 
0.1%
403 1
 
0.1%
665 1
 
0.1%
741 1
 
0.1%
928 1
 
0.1%
1002 1
 
0.1%
ValueCountFrequency (%)
4900 1
0.1%
4552 1
0.1%
4547 1
0.1%
4546 1
0.1%
4501 1
0.1%
4398 1
0.1%
4392 1
0.1%
4274 1
0.1%
4236 1
0.1%
4163 1
0.1%

Interactions

2024-06-24T13:46:21.693059image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:45:57.860855image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:00.771444image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:02.598316image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:04.369194image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:06.172288image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:07.797883image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:09.596100image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:11.255225image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:12.883234image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:14.551153image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:16.382895image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:18.103142image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:19.757816image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:21.919255image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:45:58.184473image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:01.002260image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:02.824305image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:04.602456image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:06.394901image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:08.021283image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:09.827275image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:11.487074image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:13.108987image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:14.776955image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:16.615308image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:18.331111image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:19.994658image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:22.034769image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:45:58.439574image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:01.123785image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:02.939396image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:04.726072image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:06.509519image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:08.132879image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:09.946523image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:11.602806image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:13.226555image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:15.085324image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:16.732405image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:18.449640image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:20.112787image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:22.143349image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:45:58.721227image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:01.233399image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:03.046782image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:04.838718image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:06.619884image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:08.233431image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:10.059046image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:11.708334image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:13.337135image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:15.189871image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:16.843004image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:18.557213image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:20.224171image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:22.247598image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:45:58.901689image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:01.442380image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:03.153916image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:05.076235image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:06.724484image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:08.354955image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:10.166636image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:11.810930image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:13.444705image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:15.292431image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:16.952579image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:18.662789image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:20.333773image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:22.354934image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:45:59.083944image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:01.551990image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:03.260507image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:05.182578image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:06.829070image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:08.456564image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:10.276241image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:11.916525image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:13.555340image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:15.395877image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:17.064153image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:18.769377image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:20.445354image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:22.455374image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:45:59.266079image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:01.658200image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:03.361107image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:05.292428image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:06.932658image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:08.552133image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:10.378766image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:12.017119image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:13.658850image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:15.499983image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:17.174634image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:18.875714image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:20.549924image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:22.564603image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:45:59.460930image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:01.771790image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:03.469668image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:05.410997image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:07.041522image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:08.660713image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:10.487059image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:12.126706image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:13.774243image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:15.608501image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:17.293223image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:18.987273image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:20.664504image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:22.669906image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:45:59.656272image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:01.885324image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:03.573247image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:05.516373image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:07.146858image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:08.764091image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:10.596136image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:12.229247image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:13.883808image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:15.711092image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:17.405344image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:19.094014image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:20.776846image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:22.781009image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:45:59.840825image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:01.998428image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:03.686888image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:05.622621image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:07.255444image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:08.875031image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:10.706591image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:12.344625image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:13.990229image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:15.840337image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:17.519928image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:19.209167image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:20.891435image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:22.881572image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:00.024686image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:02.105038image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:03.797990image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:05.724170image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:07.356034image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:08.980580image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:10.810190image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:12.444166image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:14.097652image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:15.935915image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:17.630785image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:19.308773image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:21.001945image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:22.994662image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:00.212889image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:02.222973image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:03.981524image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:05.839798image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:07.470609image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:09.103009image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:10.924813image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:12.561512image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:14.213774image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:16.052458image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:17.745310image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:19.422198image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:21.124069image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:23.099864image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:00.395920image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:02.336573image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:04.118103image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:05.948661image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:07.578148image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:09.210611image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:11.033260image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:12.666063image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:14.325362image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:16.164798image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:17.859045image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:19.525745image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:21.232532image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:23.214901image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:00.589888image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:02.484170image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:04.248627image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:06.065872image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:07.689781image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:09.490577image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:11.148877image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:12.778657image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:14.443545image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:16.276344image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:17.990599image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:19.651836image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-24T13:46:21.581478image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Correlations

2024-06-24T13:46:28.089138image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
CaloriesFairlyActiveMinutesIdLightActiveDistanceLightlyActiveMinutesLoggedActivitiesDistanceModeratelyActiveDistanceSedentaryActiveDistanceSedentaryMinutesTotalDistanceTotalStepsTrackerDistanceVeryActiveDistanceVeryActiveMinutes
Calories1.0000.4350.4290.4650.2860.2260.4030.010-0.1520.6170.5590.6170.4970.540
FairlyActiveMinutes0.4351.0000.1250.3450.2320.1330.980-0.103-0.3140.6850.6890.6860.7430.746
Id0.4290.1251.0000.030-0.0840.2100.111-0.114-0.0640.1990.1580.1970.2230.251
LightActiveDistance0.4650.3450.0301.0000.8780.1390.3610.142-0.4660.7150.7150.7140.2850.285
LightlyActiveMinutes0.2860.232-0.0840.8781.0000.0570.2440.194-0.4800.5590.5810.5580.1580.152
LoggedActivitiesDistance0.2260.1330.2100.1390.0571.0000.1570.010-0.0870.2030.1800.1930.2260.265
ModeratelyActiveDistance0.4030.9800.1110.3610.2440.1571.000-0.096-0.3080.7010.7040.7010.7490.734
SedentaryActiveDistance0.010-0.103-0.1140.1420.1940.010-0.0961.0000.0960.0130.0150.011-0.064-0.057
SedentaryMinutes-0.152-0.314-0.064-0.466-0.480-0.087-0.3080.0961.000-0.414-0.428-0.415-0.235-0.241
TotalDistance0.6170.6850.1990.7150.5590.2030.7010.013-0.4141.0000.9921.0000.7760.752
TotalSteps0.5590.6890.1580.7150.5810.1800.7040.015-0.4280.9921.0000.9920.7700.749
TrackerDistance0.6170.6860.1970.7140.5580.1930.7010.011-0.4151.0000.9921.0000.7750.751
VeryActiveDistance0.4970.7430.2230.2850.1580.2260.749-0.064-0.2350.7760.7700.7751.0000.970
VeryActiveMinutes0.5400.7460.2510.2850.1520.2650.734-0.057-0.2410.7520.7490.7510.9701.000

Missing values

2024-06-24T13:46:23.398858image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
A simple visualization of nullity by column.
2024-06-24T13:46:23.655838image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

IdActivityDateTotalStepsTotalDistanceTrackerDistanceLoggedActivitiesDistanceVeryActiveDistanceModeratelyActiveDistanceLightActiveDistanceSedentaryActiveDistanceVeryActiveMinutesFairlyActiveMinutesLightlyActiveMinutesSedentaryMinutesCalories
015039603662016-04-12131628.508.500.01.880.556.060.025133287281985
115039603662016-04-13107356.976.970.01.570.694.710.021192177761797
215039603662016-04-14104606.746.740.02.440.403.910.0301118112181776
315039603662016-04-1597626.286.280.02.141.262.830.029342097261745
415039603662016-04-16126698.168.160.02.710.415.040.036102217731863
515039603662016-04-1797056.486.480.03.190.782.510.038201645391728
615039603662016-04-18130198.598.590.03.250.644.710.0421623311491921
715039603662016-04-19155069.889.880.03.531.325.030.050312647752035
815039603662016-04-20105446.686.680.01.960.484.240.028122058181786
915039603662016-04-2198196.346.340.01.340.354.650.01982118381775
IdActivityDateTotalStepsTotalDistanceTrackerDistanceLoggedActivitiesDistanceVeryActiveDistanceModeratelyActiveDistanceLightActiveDistanceSedentaryActiveDistanceVeryActiveMinutesFairlyActiveMinutesLightlyActiveMinutesSedentaryMinutesCalories
93088776893912016-05-03108188.2100008.2100000.01.390.106.670.0119322911892817
93188776893912016-05-041819316.29999916.2999990.010.420.315.530.0066821211543477
93288776893912016-05-051405510.67000010.6700000.05.460.824.370.00671518811703052
93388776893912016-05-062172719.34000019.3400000.012.790.296.160.00961723210954015
93488776893912016-05-07123328.1300008.1300000.00.080.966.990.001052827110364142
93588776893912016-05-08106868.1100008.1100000.01.080.206.800.0017424511742847
93688776893912016-05-092022618.25000018.2500000.011.100.806.240.05731921711313710
93788776893912016-05-10107338.1500008.1500000.01.350.466.280.00181122411872832
93888776893912016-05-112142019.55999919.5599990.013.220.415.890.00881221311273832
93988776893912016-05-1280646.1200006.1200000.01.820.044.250.002311377701849